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A robust, fast-converging, reduced-rank adaptive processor called the loaded reiterative median cascaded canceller (LRMCC) is introduced. The LRMCC exhibits the highly desirable combination of 1) convergence-robustness to outliers/targets/nonstationary data in adaptive weight training data, and 2) fast convergence at a rate commensurate with reduced-rank algorithms. Simulated jamming data as well...
In order to find a method to eliminate the GPS receiverpsilas interference, the paper studied the principle of two conventional adaptive algorithms: Sample Matrix Inversion (SMI) adaptive algorithm and Gram-Schimit (GS) algorithm based on adaptive digital wave beam producing process. This paper analyzed a new algorithm: Improved Gram-Schmit (IGS) algorithm. Also, simulations of three algorithms are...
This paper presents a comparative study of space-time adaptive processing (STAP) methods, adapted to noise-like signals in general and digital video broadcasting-terrestrial (DVB-T) in particular. The advantages and disadvantages of each method are highlighted through the possibility of a multi-target detection among the various kinds of interferences, either homogeneous or not. This study emphasizes...
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